Literature DB >> 32638046

Role of frailty in COVID-19 patients.

Chia Siang Kow1, Syed Shahzad Hasan2.   

Abstract

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Year:  2020        PMID: 32638046      PMCID: PMC7340751          DOI: 10.1007/s00134-020-06172-6

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


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Dear Editor, The study by Bellelli et al. [1] has suggested the importance of frailty screening upon admission with COVID-19. Nevertheless, the frailty assessment tool (Frailty Index) utilized by Bellelli et al. [1] incorporated the presence/absence of various comorbidities including hypertension, cardiovascular/cerebrovascular diseases, diabetes, and chronic respiratory diseases, amongst others, as part of the assessment of frailty. In fact, the items on comorbidity constituted more than half of the items incorporated by authors for frailty assessment with the Frailty Index (23/43; 53%). However, presence of comorbidities, especially with the aforementioned diseases, has been independently associated with worse clinical outcomes in COVID-19 patients [2]. Therefore, the true association of frailty with clinical outcomes in COVID-19 may not be illustratable with Frailty Index where comorbidity forms the majority of frailty evaluation, which could confound such association. In this context, it is also important to re-visit the differential concepts of frailty and comorbidity. Frailty is regarded as the accumulation of subclinical declines in multiple aspects including physicality, functionality, cognition, and sociality, while comorbidity, which is regarded as the accumulation of clinically manifest diseases present in an individual, represents only one of the etiological factors of frailty [3, 4]. Therefore, frailty and comorbidity are two overlapping but distinct concepts, and both may predict disability, which is defined as a dependency in carrying out activities of daily living [4]. It is worth mentioning that Bellelli et al. also included eight items of disability, where altogether the items on comorbidity and disability constituted nearly three-quarters of the total items for frailty assessment with Frailty Index (31/43; 72%). More useful tools for assessment of frailty in COVID-19 patients, which measure frailty on multi-domain, and the presence/absence of comorbidity and/or disability do not form the majority part of the frailty evaluation, including Fried's Frailty Phenotype, Frailty Index derived from Comprehensive Geriatric Assessment, Edmonton Frailty Scale, Fatigue, Resistance, Ambulation, Illness, and Loss of Weight Index (FRAIL), Multidimensional Prognostic Index, Tilburg Frailty Index, Groningen Frailty Indicator, Sherbrooke Postal Questionnaire, and Gérontopôle Frailty Screening Tool [5] In addition, among COVID-19 patients who are severely ill and unconscious, especially those in the intensive care units who are unable to meaningfully participate in frailty assessment, Clinical Frailty Scale may be used [5]. All the aforementioned tools have a significant advantage over Frailty Index in that they capture better the multi-domain phenotype of frailty, and the time required for frailty assessment is only about 5–15 min, compared to 20–30 min typically required with Frailty Index. This is of utmost importance if we were to incorporate frailty screening as part of the triage in patients with COVID-19 since quick assessment tool is desired when dealing with overwhelming COVID-19 patients. While we agree with authors that Frailty Index may predict outcome in COVID-19 patients, the true association of frailty with clinical outcomes in COVID-19 (without much interference from comorbidities and disabilities) may be best determined with aforementioned tools, and a comparison of these suggested tools with Frailty Index is worth exploring as suggested by authors. With proper tools utilized for frailty assessment, frailty can be identified and intervened early. This is especially important among geriatric patients where frailty is prevalent to improve their clinical outcomes, shall they be hospitalized for COVID-19.
  5 in total

Review 1.  Untangling the concepts of disability, frailty, and comorbidity: implications for improved targeting and care.

Authors:  Linda P Fried; Luigi Ferrucci; Jonathan Darer; Jeff D Williamson; Gerard Anderson
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2004-03       Impact factor: 6.053

Review 2.  Is It Time to Begin a Public Campaign Concerning Frailty and Pre-frailty? A Review Article.

Authors:  Jerzy Sacha; Magdalena Sacha; Jacek Soboń; Zbigniew Borysiuk; Piotr Feusette
Journal:  Front Physiol       Date:  2017-07-11       Impact factor: 4.566

3.  Frailty index predicts poor outcome in COVID-19 patients.

Authors:  Giuseppe Bellelli; Paola Rebora; Maria Grazia Valsecchi; Paolo Bonfanti; Giuseppe Citerio
Journal:  Intensive Care Med       Date:  2020-05-25       Impact factor: 17.440

4.  Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.

Authors:  Wei-Jie Guan; Wen-Hua Liang; Yi Zhao; Heng-Rui Liang; Zi-Sheng Chen; Yi-Min Li; Xiao-Qing Liu; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Chun-Quan Ou; Li Li; Ping-Yan Chen; Ling Sang; Wei Wang; Jian-Fu Li; Cai-Chen Li; Li-Min Ou; Bo Cheng; Shan Xiong; Zheng-Yi Ni; Jie Xiang; Yu Hu; Lei Liu; Hong Shan; Chun-Liang Lei; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Lin-Ling Cheng; Feng Ye; Shi-Yue Li; Jin-Ping Zheng; Nuo-Fu Zhang; Nan-Shan Zhong; Jian-Xing He
Journal:  Eur Respir J       Date:  2020-05-14       Impact factor: 16.671

Review 5.  Frailty measurement in research and clinical practice: A review.

Authors:  Elsa Dent; Paul Kowal; Emiel O Hoogendijk
Journal:  Eur J Intern Med       Date:  2016-03-31       Impact factor: 4.487

  5 in total
  1 in total

1.  Outcomes of hospitalized patients with COVID-19 according to level of frailty.

Authors:  Eva María Andrés-Esteban; Manuel Quintana-Diaz; Karen Lizzette Ramírez-Cervantes; Irene Benayas-Peña; Alberto Silva-Obregón; Rosa Magallón-Botaya; Ivan Santolalla-Arnedo; Raúl Juárez-Vela; Vicente Gea-Caballero
Journal:  PeerJ       Date:  2021-04-13       Impact factor: 2.984

  1 in total

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